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<li class="navelem"><a class="el" href="dir_5956a3e80a20e8e03eb577bedb92689f.html">gpu</a></li>  </ul>
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<div class="title">StandardGpuResources.cpp</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &quot;StandardGpuResources.h&quot;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &quot;utils/MemorySpace.h&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;../FaissAssert.h&quot;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;limits&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;</div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="keyword">namespace </span>{</div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;</div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment">// How many streams per device we allocate by default (for multi-streaming)</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;constexpr <span class="keywordtype">int</span> kNumStreams = 2;</div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;</div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment">// Use 256 MiB of pinned memory for async CPU &lt;-&gt; GPU copies by default</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;constexpr <span class="keywordtype">size_t</span> kDefaultPinnedMemoryAllocation = (size_t) 256 * 1024 * 1024;</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment">// Default temporary memory allocation for &lt;= 4 GiB memory GPUs</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;constexpr <span class="keywordtype">size_t</span> k4GiBTempMem = (size_t) 512 * 1024 * 1024;</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment">// Default temporary memory allocation for &lt;= 8 GiB memory GPUs</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;constexpr <span class="keywordtype">size_t</span> k8GiBTempMem = (size_t) 1024 * 1024 * 1024;</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="comment">// Maximum temporary memory allocation for all GPUs</span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;constexpr <span class="keywordtype">size_t</span> kMaxTempMem = (size_t) 1536 * 1024 * 1024;</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;}</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;StandardGpuResources::StandardGpuResources() :</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    pinnedMemAlloc_(nullptr),</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    pinnedMemAllocSize_(0),</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    <span class="comment">// let the adjustment function determine the memory size for us by passing</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    <span class="comment">// in a huge value that will then be adjusted</span></div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    tempMemSize_(getDefaultTempMemForGPU(-1,</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;                                         std::numeric_limits&lt;size_t&gt;::max())),</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    pinnedMemSize_(kDefaultPinnedMemoryAllocation),</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    cudaMallocWarning_(true) {</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;}</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;StandardGpuResources::~StandardGpuResources() {</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; entry : defaultStreams_) {</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    DeviceScope scope(entry.first);</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    <span class="keyword">auto</span> it = userDefaultStreams_.find(entry.first);</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <span class="keywordflow">if</span> (it == userDefaultStreams_.end()) {</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;      <span class="comment">// The user did not specify this stream, thus we are the ones</span></div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;      <span class="comment">// who have created it</span></div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;      CUDA_VERIFY(cudaStreamDestroy(entry.second));</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    }</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;  }</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; entry : alternateStreams_) {</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    DeviceScope scope(entry.first);</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span> stream : entry.second) {</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;      CUDA_VERIFY(cudaStreamDestroy(stream));</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    }</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;  }</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; entry : asyncCopyStreams_) {</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    DeviceScope scope(entry.first);</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    CUDA_VERIFY(cudaStreamDestroy(entry.second));</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;  }</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; entry : blasHandles_) {</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    DeviceScope scope(entry.first);</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keyword">auto</span> blasStatus = cublasDestroy(entry.second);</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    FAISS_ASSERT(blasStatus == CUBLAS_STATUS_SUCCESS);</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  }</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;  <span class="keywordflow">if</span> (pinnedMemAlloc_) {</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    freeMemorySpace(MemorySpace::HostPinned, pinnedMemAlloc_);</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;  }</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;}</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="keywordtype">size_t</span></div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;StandardGpuResources::getDefaultTempMemForGPU(<span class="keywordtype">int</span> device,</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                                              <span class="keywordtype">size_t</span> requested) {</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;  <span class="keyword">auto</span> totalMem = device != -1 ?</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    getDeviceProperties(device).totalGlobalMem :</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    std::numeric_limits&lt;size_t&gt;::max();</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  <span class="keywordflow">if</span> (totalMem &lt;= (<span class="keywordtype">size_t</span>) 4 * 1024 * 1024 * 1024) {</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <span class="comment">// If the GPU has &lt;= 4 GiB of memory, reserve 512 MiB</span></div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keywordflow">if</span> (requested &gt; k4GiBTempMem) {</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;      <span class="keywordflow">return</span> k4GiBTempMem;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    }</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (totalMem &lt;= (<span class="keywordtype">size_t</span>) 8 * 1024 * 1024 * 1024) {</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="comment">// If the GPU has &lt;= 8 GiB of memory, reserve 1 GiB</span></div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <span class="keywordflow">if</span> (requested &gt; k8GiBTempMem) {</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;      <span class="keywordflow">return</span> k8GiBTempMem;</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    }</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="comment">// Never use more than 1.5 GiB</span></div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    <span class="keywordflow">if</span> (requested &gt; kMaxTempMem) {</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;      <span class="keywordflow">return</span> kMaxTempMem;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    }</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;  }</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  <span class="comment">// use whatever lower limit the user requested</span></div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  <span class="keywordflow">return</span> requested;</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;}</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a6431477a7328ac147797b3b4e3fcf651">  115</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a6431477a7328ac147797b3b4e3fcf651">StandardGpuResources::noTempMemory</a>() {</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a367102e65b16bfdc7a32770a4f5854a6">setTempMemory</a>(0);</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a3caad981d50370b9f5c121509eb2ed17">setCudaMallocWarning</a>(<span class="keyword">false</span>);</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;}</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a367102e65b16bfdc7a32770a4f5854a6">  121</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a367102e65b16bfdc7a32770a4f5854a6">StandardGpuResources::setTempMemory</a>(<span class="keywordtype">size_t</span> size) {</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;  <span class="keywordflow">if</span> (tempMemSize_ != size) {</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <span class="comment">// adjust based on general limits</span></div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    tempMemSize_ = getDefaultTempMemForGPU(-1, size);</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="comment">// We need to re-initialize memory resources for all current devices that</span></div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <span class="comment">// have been initialized.</span></div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="comment">// This should be safe to do, even if we are currently running work, because</span></div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <span class="comment">// the cudaFree call that this implies will force-synchronize all GPUs with</span></div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    <span class="comment">// the CPU</span></div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; p : memory_) {</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;      <span class="keywordtype">int</span> device = p.first;</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;      <span class="comment">// Free the existing memory first</span></div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;      p.second.reset();</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;      <span class="comment">// Allocate new</span></div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;      p.second = std::unique_ptr&lt;StackDeviceMemory&gt;(</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;        <span class="keyword">new</span> <a class="code" href="classfaiss_1_1gpu_1_1StackDeviceMemory.html">StackDeviceMemory</a>(p.first,</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;                              <span class="comment">// adjust for this specific device</span></div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;                              getDefaultTempMemForGPU(device, tempMemSize_)));</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    }</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  }</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;}</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#af9acb23ac323f85fa5dab4ed968ccd51">  146</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#af9acb23ac323f85fa5dab4ed968ccd51">StandardGpuResources::setPinnedMemory</a>(<span class="keywordtype">size_t</span> size) {</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;  <span class="comment">// Should not call this after devices have been initialized</span></div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;  FAISS_ASSERT(defaultStreams_.size() == 0);</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;  FAISS_ASSERT(!pinnedMemAlloc_);</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  pinnedMemSize_ = size;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;}</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5924b424c36dba8300866f1b98c438cb">  155</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5924b424c36dba8300866f1b98c438cb">StandardGpuResources::setDefaultStream</a>(<span class="keywordtype">int</span> device, cudaStream_t stream) {</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;  <span class="keyword">auto</span> it = defaultStreams_.find(device);</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;  <span class="keywordflow">if</span> (it != defaultStreams_.end()) {</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <span class="comment">// Replace this stream with the user stream</span></div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    CUDA_VERIFY(cudaStreamDestroy(it-&gt;second));</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    it-&gt;second = stream;</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;  }</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;  userDefaultStreams_[device] = stream;</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;}</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5374f336f1957c266d7a5c185eb962a1">  167</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5374f336f1957c266d7a5c185eb962a1">StandardGpuResources::setDefaultNullStreamAllDevices</a>() {</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> dev = 0; dev &lt; getNumDevices(); ++dev) {</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5924b424c36dba8300866f1b98c438cb">setDefaultStream</a>(dev, <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;  }</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;}</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a3caad981d50370b9f5c121509eb2ed17">  174</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a3caad981d50370b9f5c121509eb2ed17">StandardGpuResources::setCudaMallocWarning</a>(<span class="keywordtype">bool</span> b) {</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;  cudaMallocWarning_ = b;</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; v : memory_) {</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    v.second-&gt;setCudaMallocWarning(b);</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;  }</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;}</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;<span class="keywordtype">bool</span></div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;StandardGpuResources::isInitialized(<span class="keywordtype">int</span> device)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;  <span class="comment">// Use default streams as a marker for whether or not a certain</span></div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;  <span class="comment">// device has been initialized</span></div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;  <span class="keywordflow">return</span> defaultStreams_.count(device) != 0;</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;}</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">  190</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">StandardGpuResources::initializeForDevice</a>(<span class="keywordtype">int</span> device) {</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;  <span class="keywordflow">if</span> (isInitialized(device)) {</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;  }</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;  <span class="comment">// If this is the first device that we&#39;re initializing, create our</span></div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;  <span class="comment">// pinned memory allocation</span></div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;  <span class="keywordflow">if</span> (defaultStreams_.empty() &amp;&amp; pinnedMemSize_ &gt; 0) {</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    allocMemorySpace(MemorySpace::HostPinned, &amp;pinnedMemAlloc_, pinnedMemSize_);</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    pinnedMemAllocSize_ = pinnedMemSize_;</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;  }</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;  FAISS_ASSERT(device &lt; getNumDevices());</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(device);</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;  <span class="comment">// Make sure that device properties for all devices are cached</span></div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;  <span class="keyword">auto</span>&amp; prop = getDeviceProperties(device);</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;  <span class="comment">// Also check to make sure we meet our minimum compute capability (3.0)</span></div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;  FAISS_ASSERT_FMT(prop.major &gt;= 3,</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;                   <span class="stringliteral">&quot;Device id %d with CC %d.%d not supported, &quot;</span></div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;                   <span class="stringliteral">&quot;need 3.0+ compute capability&quot;</span>,</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;                   device, prop.major, prop.minor);</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;  <span class="comment">// Create streams</span></div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;  cudaStream_t defaultStream = 0;</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;  <span class="keyword">auto</span> it = userDefaultStreams_.find(device);</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;  <span class="keywordflow">if</span> (it != userDefaultStreams_.end()) {</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    <span class="comment">// We already have a stream provided by the user</span></div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    defaultStream = it-&gt;second;</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    CUDA_VERIFY(cudaStreamCreateWithFlags(&amp;defaultStream,</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;                                          cudaStreamNonBlocking));</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;  }</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;  defaultStreams_[device] = defaultStream;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;  cudaStream_t asyncCopyStream = 0;</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;  CUDA_VERIFY(cudaStreamCreateWithFlags(&amp;asyncCopyStream,</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;                                        cudaStreamNonBlocking));</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  asyncCopyStreams_[device] = asyncCopyStream;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;  std::vector&lt;cudaStream_t&gt; deviceStreams;</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; kNumStreams; ++j) {</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    cudaStream_t stream = 0;</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    CUDA_VERIFY(cudaStreamCreateWithFlags(&amp;stream,</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;                                          cudaStreamNonBlocking));</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    deviceStreams.push_back(stream);</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;  }</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;  alternateStreams_[device] = std::move(deviceStreams);</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;  <span class="comment">// Create cuBLAS handle</span></div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;  cublasHandle_t blasHandle = 0;</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;  <span class="keyword">auto</span> blasStatus = cublasCreate(&amp;blasHandle);</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;  FAISS_ASSERT(blasStatus == CUBLAS_STATUS_SUCCESS);</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;  blasHandles_[device] = blasHandle;</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;  FAISS_ASSERT(memory_.count(device) == 0);</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;  <span class="keyword">auto</span> mem = std::unique_ptr&lt;StackDeviceMemory&gt;(</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    <span class="keyword">new</span> <a class="code" href="classfaiss_1_1gpu_1_1StackDeviceMemory.html">StackDeviceMemory</a>(device,</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;                          <span class="comment">// adjust for this specific device</span></div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;                          getDefaultTempMemForGPU(device, tempMemSize_)));</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;  mem-&gt;setCudaMallocWarning(cudaMallocWarning_);</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  memory_.emplace(device, std::move(mem));</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;}</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;cublasHandle_t</div>
<div class="line"><a name="l00262"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a7560435c7f45fd59d94ee947330a58da">  262</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a7560435c7f45fd59d94ee947330a58da">StandardGpuResources::getBlasHandle</a>(<span class="keywordtype">int</span> device) {</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">initializeForDevice</a>(device);</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;  <span class="keywordflow">return</span> blasHandles_[device];</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;}</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;cudaStream_t</div>
<div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a954f34ef68fd36b8d502ca3a21f7e8a8">  268</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a954f34ef68fd36b8d502ca3a21f7e8a8">StandardGpuResources::getDefaultStream</a>(<span class="keywordtype">int</span> device) {</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">initializeForDevice</a>(device);</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;  <span class="keywordflow">return</span> defaultStreams_[device];</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;}</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;std::vector&lt;cudaStream_t&gt;</div>
<div class="line"><a name="l00274"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a9ebf68604864cb890a4c2e3d0a6f9952">  274</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a9ebf68604864cb890a4c2e3d0a6f9952">StandardGpuResources::getAlternateStreams</a>(<span class="keywordtype">int</span> device) {</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">initializeForDevice</a>(device);</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;  <span class="keywordflow">return</span> alternateStreams_[device];</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;}</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;</div>
<div class="line"><a name="l00279"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a35da92117dd4b47ee773444af716d634">  279</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>&amp; <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a35da92117dd4b47ee773444af716d634">StandardGpuResources::getMemoryManager</a>(<span class="keywordtype">int</span> device) {</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">initializeForDevice</a>(device);</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;  <span class="keywordflow">return</span> *memory_[device];</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;}</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;std::pair&lt;void*, size_t&gt;</div>
<div class="line"><a name="l00285"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#ae7418f127cac2ac663ac0ae2e6f88e8d">  285</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#ae7418f127cac2ac663ac0ae2e6f88e8d">StandardGpuResources::getPinnedMemory</a>() {</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;  <span class="keywordflow">return</span> std::make_pair(pinnedMemAlloc_, pinnedMemAllocSize_);</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;}</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;cudaStream_t</div>
<div class="line"><a name="l00290"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adf89d4731c826df889f51fe42287b15d">  290</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adf89d4731c826df889f51fe42287b15d">StandardGpuResources::getAsyncCopyStream</a>(<span class="keywordtype">int</span> device) {</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">initializeForDevice</a>(device);</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;  <span class="keywordflow">return</span> asyncCopyStreams_[device];</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;}</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;} } <span class="comment">// namespace</span></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a5924b424c36dba8300866f1b98c438cb"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5924b424c36dba8300866f1b98c438cb">faiss::gpu::StandardGpuResources::setDefaultStream</a></div><div class="ttdeci">void setDefaultStream(int device, cudaStream_t stream)</div><div class="ttdoc">Called to change the stream for work ordering. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00155">StandardGpuResources.cpp:155</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a7560435c7f45fd59d94ee947330a58da"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a7560435c7f45fd59d94ee947330a58da">faiss::gpu::StandardGpuResources::getBlasHandle</a></div><div class="ttdeci">cublasHandle_t getBlasHandle(int device) override</div><div class="ttdoc">Returns the cuBLAS handle that we use for the given device. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00262">StandardGpuResources.cpp:262</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a6431477a7328ac147797b3b4e3fcf651"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a6431477a7328ac147797b3b4e3fcf651">faiss::gpu::StandardGpuResources::noTempMemory</a></div><div class="ttdeci">void noTempMemory()</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00115">StandardGpuResources.cpp:115</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_adb2729678638ed89f7b8b38470f96056"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">faiss::gpu::StandardGpuResources::initializeForDevice</a></div><div class="ttdeci">void initializeForDevice(int device) override</div><div class="ttdoc">Internal system calls. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00190">StandardGpuResources.cpp:190</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_adf89d4731c826df889f51fe42287b15d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adf89d4731c826df889f51fe42287b15d">faiss::gpu::StandardGpuResources::getAsyncCopyStream</a></div><div class="ttdeci">cudaStream_t getAsyncCopyStream(int device) override</div><div class="ttdoc">Returns the stream on which we perform async CPU &amp;lt;-&amp;gt; GPU copies. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00290">StandardGpuResources.cpp:290</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a35da92117dd4b47ee773444af716d634"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a35da92117dd4b47ee773444af716d634">faiss::gpu::StandardGpuResources::getMemoryManager</a></div><div class="ttdeci">DeviceMemory &amp; getMemoryManager(int device) override</div><div class="ttdoc">Returns the temporary memory manager for the given device. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00279">StandardGpuResources.cpp:279</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a3caad981d50370b9f5c121509eb2ed17"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a3caad981d50370b9f5c121509eb2ed17">faiss::gpu::StandardGpuResources::setCudaMallocWarning</a></div><div class="ttdeci">void setCudaMallocWarning(bool b)</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00174">StandardGpuResources.cpp:174</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a367102e65b16bfdc7a32770a4f5854a6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a367102e65b16bfdc7a32770a4f5854a6">faiss::gpu::StandardGpuResources::setTempMemory</a></div><div class="ttdeci">void setTempMemory(size_t size)</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00121">StandardGpuResources.cpp:121</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_af9acb23ac323f85fa5dab4ed968ccd51"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#af9acb23ac323f85fa5dab4ed968ccd51">faiss::gpu::StandardGpuResources::setPinnedMemory</a></div><div class="ttdeci">void setPinnedMemory(size_t size)</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00146">StandardGpuResources.cpp:146</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a954f34ef68fd36b8d502ca3a21f7e8a8"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a954f34ef68fd36b8d502ca3a21f7e8a8">faiss::gpu::StandardGpuResources::getDefaultStream</a></div><div class="ttdeci">cudaStream_t getDefaultStream(int device) override</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00268">StandardGpuResources.cpp:268</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a5374f336f1957c266d7a5c185eb962a1"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5374f336f1957c266d7a5c185eb962a1">faiss::gpu::StandardGpuResources::setDefaultNullStreamAllDevices</a></div><div class="ttdeci">void setDefaultNullStreamAllDevices()</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00167">StandardGpuResources.cpp:167</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceScope_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceScope.html">faiss::gpu::DeviceScope</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceUtils_8h_source.html#l00068">DeviceUtils.h:68</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StackDeviceMemory_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StackDeviceMemory.html">faiss::gpu::StackDeviceMemory</a></div><div class="ttdef"><b>Definition:</b> <a href="StackDeviceMemory_8h_source.html#l00020">StackDeviceMemory.h:20</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceMemory_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceMemory.html">faiss::gpu::DeviceMemory</a></div><div class="ttdoc">Manages temporary memory allocations on a GPU device. </div><div class="ttdef"><b>Definition:</b> <a href="DeviceMemory_8h_source.html#l00044">DeviceMemory.h:44</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_ae7418f127cac2ac663ac0ae2e6f88e8d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#ae7418f127cac2ac663ac0ae2e6f88e8d">faiss::gpu::StandardGpuResources::getPinnedMemory</a></div><div class="ttdeci">std::pair&lt; void *, size_t &gt; getPinnedMemory() override</div><div class="ttdoc">Returns the available CPU pinned memory buffer. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00285">StandardGpuResources.cpp:285</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a9ebf68604864cb890a4c2e3d0a6f9952"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a9ebf68604864cb890a4c2e3d0a6f9952">faiss::gpu::StandardGpuResources::getAlternateStreams</a></div><div class="ttdeci">std::vector&lt; cudaStream_t &gt; getAlternateStreams(int device) override</div><div class="ttdoc">Returns the set of alternative streams that we use for the given device. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00274">StandardGpuResources.cpp:274</a></div></div>
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